Triple

T21542129
Position Surface form Disambiguated ID Type / Status
Subject SR 10 Loop E531517 entity
Predicate hasLoopDesignation P122164 FINISHED
Object Loop LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Loop | Statement: [SR 10 Loop, hasLoopDesignation, Loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLoopDesignation
Context triple: [SR 10 Loop, hasLoopDesignation, Loop]
  • A. hasLoopRole
    Indicates that an entity participates in a loop structure with a specific functional role within that loop.
  • B. isLoop
    Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
  • C. hasLoopConfiguration chosen
    Indicates that an entity is associated with a specific loop setup or arrangement that defines how a loop operates or is structured.
  • D. hasInclinedLoop
    Indicates that one entity features or contains a loop that is positioned at an angle rather than being level or vertical.
  • E. hasVerticalLoops
    Indicates that one entity features or includes vertical loop structures in its form, design, or configuration.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58c34808190b0eb54ba01e2cc13 completed April 27, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69e6320766308190ba5dca2f7c826aa4 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:28 p.m.